Showing 10 results for Simulation
K. Mazaheri and H. Assadollahi,
Volume 21, Issue 2 (1-2003)
Abstract
One of the basic equations to analyze the detonation of high explosives is the equation of state of the detonation products. Due to the very high pressure of the product, the direct measurement of the thermodynamic variables such as pressure or temperature is not possible. In this research, the parameters of BKW and HOM equations of state of detonation products are determined via experimental measurement of the detonation velocity. Comparing the calculated parameters show good agreement with the published results for a vast range of explosives.
It is also shown that the curve fitting of the enthalpy of the products in standard states to a forth degree polynomial of temperature improves the results with respect to entropy fitting used by Mader.
Keywords: BKW, HOM, Equation of state, Detonation product, Explosion simulation
A. Ardeshir, F. Bahadori and A. Tahershamsi,
Volume 23, Issue 1 (7-2004)
Abstract
In this paper, development of a semi-two- dimensional mathematical model called SDAR is introduced. The model is composed of two principal modules of hydraulics and sediment transport. The newly developed SDAR model has a number of capabilities including determination of sediment transport rate, aggradation - degradation
calculation, longitudinal profile and lateral cross–sectional variation simulation, and tracing armor layer development phenomena. SDAR is a semi- two dimensional ( S-2D) model, in the sense that the lateral variation of velocity, shear stress, and rate of sediment transport are achieved by subdividing the channel course into several stream tubes carrying equal discharges. Sediment routing and bed variation calculations are accomplished along each stream tube designated by virtual interfaces.
M. Talebi, E. Shirani, and M. Ashrafizadeh,
Volume 25, Issue 2 (1-2007)
Abstract
In this study, turbulent flow around a tube bundle in non-orthogonal grid is simulated using the Large Eddy Simulation (LES) technique and parallelization of fully coupled Navier – Stokes (NS) equations. To model the small eddies, the Smagorinsky and a mixed model was used. This model represents the effect of dissipation and the grid-scale and subgrid-scale interactions. The fully coupled NS equations with the multiblock method was parallelized. Parallelization of the computer code was accomplished by splitting the calculation domain into several subdomains and using different processors in such a way that the computational work was equally distributed among processors. The discretized governing equations are second order in time and in space and the pressure is calculated by Momentum Interpolation Method (MIM) to prevent the checkerboard problem. The results are obtained for the turbulent flow over five parallel tube rows. The computational efficiency, flow patterns, and flow properties are also determined. The results showed high parallelization efficiency and high speed up for the computer code. The flow characteristics were determined and compared with experimental results which showed good agreement. Also, the results showed that the mixed model is better than the Smagorinsky model for evaluation of flow characteristics and lift and drag forces on tubes.
M. Farzan Sabahi, M. Modarres Hashemi, and A. Sheikhi,
Volume 27, Issue 1 (7-2008)
Abstract
In this paper, radar detection based on Monte Carlo sampling is studied. Two detectors based on Importance Sampling are presented. In these detectors, called Particle Detector, the approximated likelihood ratio is calculated by Monte Carlo sampling. In the first detector, the unknown parameters are first estimated and are substituted in the likelihood ratio (like
the GLRT method). In the second detector, the averaged likelihood ratio is calculated by integrating out the unknown parameters (like the AALR method). Thanks to the numerical nature of these methods, they can be applied to many detection problems which do not have analytical solutions. Simulation results show that both the proposed detectors and the GLRT have approximately the same performance in problems to which the GLRT can be applied. On the other hand, the proposed detectors can be used in many cases for which either no ML estimate of unknown parameters exists or their prior distribution is known.
M. Reza Afshar, M. R. Aboutalebi, M. Isac, R.i.l. Guthrie,
Volume 28, Issue 1 (6-2009)
Abstract
In this research, a 3-D mathematical model is developed for simulating electromagnetic continuous removal of inclusions from molten metals. The model includes the computation of electromagnetic force field and fluid flow in the presence of electromagnetic forces. The results of flow field together with electromagnetic force field were further used for calculating the trajectory of inclusions in the molten metal. Parametric studies were performed to evaluate the effects of various parameters such as magnetic field intensity, inclusion size, and fluid velocity on inclusion removal efficiency in molten magnesium. In order to verify the mathematical model and visualize the trajectories of particles in the melt flow under electromagnetic force, a physical model was constructed. The predicted particle trajectories and separation in the physical model were compared with those obtained from experiments, which showed a relatively good agreement.
M. Eshraghi Kakhki, A. Kermanpur, M. A. Golozar,
Volume 30, Issue 1 (6-2011)
Abstract
In this work, a 3D thermo-microstructural model was developed to simulate the continuous cooling of steel. The model was employed for simulation of cooling process of the gears made from a plain carbon steel (AISI 1045) and a low alloy steel (AISI 4140). Temperature-dependent heat transfer coefficients for two different quenching media were evaluated by experimental and computational methods. The effects of latent heat releases during phase transformations, temperature and phase fractions on the variation of thermo-physical properties were investigated. The present model was validated against cooling curve measurements, metallographic analysis, and hardness tests, and good agreement was found between the experimental and simulation results. This model was used to simulate the continuous cooling process and to predict the final distribution of microstructures and hardness in steel gears.
R. Esmaeili, M.r. Dashtbayazi,
Volume 32, Issue 2 (12-2013)
Abstract
In the present work, molecular dynamics simulation method was used for determining Young's modulus, Shear modulus and Poisson’s ratio of Al-SiC nanocomposites, with different volume fractions of the reinforcements. For simulation, the open source package, LAMMPS, was used. After putting Aluminum and Silicon Carbide atoms in their initial positions, interatomic potentials between them were defined. EAM potential was used for Aluminum atoms, Morse potential was used for Al-C and Al-Si, and for C-C, Si-C, and Si-Si Tersoff potential was used. According to the elastic bounding principal, and the comparison between the simulations results and Voigt, Ruess and Halpin-Tsai micromechanical models showed that the results were close to the upper bound Voigt model.
M.r. Dashtbayazi, M. Mahmoudi Meymand,
Volume 34, Issue 3 (12-2015)
Abstract
In this research, stiffness of polymer-clay nanocomposites was simulated by Mori-Tanaka and two and three dimensional finite element models. Nanoclays were dispersed into polymer matrix in two ways, namely parallel and random orientations toward loading direction. Effects of microstructural parameters including volume fraction of nanoclays, elastic modulus of nanoclays and interphase, thickness of interphase, aspect ratio of nanoclays and random orientation of nanoclays on elastic modulus of the nanocomposite were investigated by finite element model. Comparing the simulation with experimental results showed that the Mori-Tanak simulation results were closer to the experimental results. Analysis of results showed that the volume fraction of nanoclay, elastic modulus of nanoclay, deviation of nanoclay layers with respect to loading direction, nanoclays aspect ratio, thickness of interphase and the elastic modulus of interphase had respectively the most to the least effect on elastic modulus of nanocomposite.
H. Shokrvash, A. Vajd, M. Shaban Ghazani,
Volume 34, Issue 4 (3-2016)
Abstract
In the present research, an effective thermo-mechanical processing route in the temperature range of metastable austenite region (Ae3<T< Ar3) was employed to achieve ultra-fine grain size in a plain low carbon steel during integrated extrusion equal channel angular pressing. At first, the effect of preheating temperature on the strain and temperature distributions inside the deformed samples were investigated using 3D finite element simulation. According to the result of FEM simulation, the preheating temperature of 930 ˚C was selected as an appropriate temperature for fabrication of ultra-fine ferrite structure. Severe plastic deformation was then imposed on samples with the predicted preheating temperature and the results showed a great consistency with FEM simulation predictions. Optical micrographs taken from the center point of the samples showed that the ferrite grains could be refined from 32 μm to 1-3 μm by different mechanisms.
M. H. Musazadeh, R. Vafaei, E. Mohammad Sharifi, Kh. Farmanesh,
Volume 38, Issue 3 (12-2019)
Abstract
Finite element (FE) simulations in conjunction with experimental analysis were carried out to characterize the deformation behavior of an AISI 321 austenitic stainless steel (ASS) during cold pilgering process. The effect of process parameters including feed rate (4 and 8 mm) and turn angle (15, 30 and 60°) on damage build-up were also evaluated. The Johnson-cook model was used to simulate the flow behavior of material. By considering compressive stresses, a new revised Latham-Cockcraft damage was calculated and used to determine the optimum process parameters. It was found that the radial and hoop strains in all friction conditions were compressive, while the axial strains were observed to be tensile. The amount of strain (whether it is compressive or tensile strain) was also higher on the outside of the tube compared to its inside. By considering fatigue cycles of a tube element during the process, the feed rate of 8mm, turn angle of 60° and the lowest coefficient of friction were determined as optimum parameters.
